OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos
Author:
Affiliation:
1. King Abdullah University of Science and Technology
2. Samsung AI Centre Cambridge
3. Adobe Research
Funder
King Abdullah University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208463.pdf?arnumber=10208463
Reference53 articles.
1. Temporal Context Network for Activity Localization in Videos
2. Vggsound: A Large-Scale Audio-Visual Dataset
3. Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100;damen;International Journal of Computer Vision,2021
4. Scaling egocentric vision: The epic-kitchens dataset;damen;Proceedings of the European Conference on Computer Vision (ECCV),2018
5. HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization
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